Modifying an appearance of a gui to improve gui usability

ABSTRACT

In one or more embodiments of the present invention, a method modifies a graphical user interface (GUI) for an application to improve GUI usability. One or more processors identify a non-intuitive icon on a current graphical user interface (GUI) The processor(s) match the non-intuitive icon to a traditional icon that performs a same function as the non-intuitive icon when selected by a user. The processor(s) replace the non-intuitive icon with the traditional icon on the current GUI.

BACKGROUND

The present disclosure relates to the field of graphical user interfaces(GUIs) used with software applications, and specifically to anappearance of GUIs. More specifically, the present disclosure relates tooptimizing an appearance of a GUI to improve a user experience with theGUI.

SUMMARY

In one or more embodiments of the present invention, a method modifies agraphical user interface (GUI) for an application to improve GUIusability. One or more processors identify a non-intuitive icon on acurrent graphical user interface (GUI) The processor(s) match thenon-intuitive icon to a traditional icon that performs a same functionas the non-intuitive icon when selected by a user. The processor(s)replace the non-intuitive icon with the traditional icon on the currentGUI.

In one or more embodiments of the present invention, the method isimplemented as a computer program product and/or in a system.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 depicts an exemplary system and network in which the presentdisclosure may be implemented;

FIG. 2 illustrates two exemplary graphical user interfaces (GUIs) thatrespectively use the term “authenticate” improperly and properly;

FIG. 3 depicts two exemplary GUIs that respectively use an inappropriateicon and an appropriate icon;

FIG. 4 illustrates two exemplary GUIs that respectively use a properlayout and font and an improper layout and font;

FIG. 5 presents a high-level overview of exemplary steps performed inone or more embodiments of the present invention;

FIG. 6 depicts a representation learner utilized in one or moreembodiments of the present invention;

FIG. 7A-7B illustrates various neural models generated for variouscontexts and subjects for use in one or more embodiments of the presentinvention;

FIG. 8 depicts a current GUI being mapped to a pre-built reference modelin accordance with one or more embodiments of the present invention;

FIG. 9 is a high-level flow chart of one or more steps performed by oneor more processors to modify a GUI in order to improve the usability ofthe GUI;

FIG. 10 depicts a cloud computing node according to an embodiment of thepresent disclosure;

FIG. 11 depicts a cloud computing environment according to an embodimentof the present disclosure; and

FIG. 12 depicts abstraction model layers according to an embodiment ofthe present disclosure.

DETAILED DESCRIPTION

The present invention may be a system, a method, and/or a computerprogram product. The computer program product may include a computerreadable storage medium (or media) having computer readable programinstructions thereon for causing a processor to carry out aspects of thepresent invention.

The computer readable storage medium can be a tangible device that canretain and store instructions for use by an instruction executiondevice. The computer readable storage medium may be, for example, but isnot limited to, an electronic storage device, a magnetic storage device,an optical storage device, an electromagnetic storage device, asemiconductor storage device, or any suitable combination of theforegoing. A non-exhaustive list of more specific examples of thecomputer readable storage medium includes the following: a portablecomputer diskette, a hard disk, a random access memory (RAM), aread-only memory (ROM), an erasable programmable read-only memory (EPROMor Flash memory), a static random access memory (SRAM), a portablecompact disc read-only memory (CD-ROM), a digital versatile disk (DVD),a memory stick, a floppy disk, a mechanically encoded device such aspunch-cards or raised structures in a groove having instructionsrecorded thereon, and any suitable combination of the foregoing. Acomputer readable storage medium, as used herein, is not to be construedas being transitory signals per se, such as radio waves or other freelypropagating electromagnetic waves, electromagnetic waves propagatingthrough a waveguide or other transmission media (e.g., light pulsespassing through a fiber-optic cable), or electrical signals transmittedthrough a wire.

Computer readable program instructions described herein can bedownloaded to respective computing/processing devices from a computerreadable storage medium or to an external computer or external storagedevice via a network, for example, the Internet, a local area network, awide area network and/or a wireless network. The network may comprisecopper transmission cables, optical transmission fibers, wirelesstransmission, routers, firewalls, switches, gateway computers and/oredge servers. A network adapter card or network interface in eachcomputing/processing device receives computer readable programinstructions from the network and forwards the computer readable programinstructions for storage in a computer readable storage medium withinthe respective computing/processing device.

Computer readable program instructions for carrying out operations ofthe present invention may be assembler instructions,instruction-set-architecture (ISA) instructions, machine instructions,machine dependent instructions, microcode, firmware instructions,state-setting data, or either source code or object code written in anycombination of one or more programming languages, including an objectoriented programming language such as Java, Smalltalk, C++ or the like,and conventional procedural programming languages, such as the “C”programming language or similar programming languages. The computerreadable program instructions may execute entirely on the user'scomputer, partly on the user's computer, as a stand-alone softwarepackage, partly on the user's computer and partly on a remote computeror entirely on the remote computer or server. In the latter scenario,the remote computer may be connected to the user's computer through anytype of network, including a local area network (LAN) or a wide areanetwork (WAN), or the connection may be made to an external computer(for example, through the Internet using an Internet Service Provider).In some embodiments, electronic circuitry including, for example,programmable logic circuitry, field-programmable gate arrays (FPGA), orprogrammable logic arrays (PLA) may execute the computer readableprogram instructions by utilizing state information of the computerreadable program instructions to personalize the electronic circuitry,in order to perform aspects of the present invention.

Aspects of the present invention are described herein with reference toflowchart illustrations and/or block diagrams of methods, apparatus(systems), and computer program products according to embodiments of theinvention. It will be understood that each block of the flowchartillustrations and/or block diagrams, and combinations of blocks in theflowchart illustrations and/or block diagrams, can be implemented bycomputer readable program instructions.

These computer readable program instructions may be provided to aprocessor of a general purpose computer, special purpose computer, orother programmable data processing apparatus to produce a machine, suchthat the instructions, which execute via the processor of the computeror other programmable data processing apparatus, create means forimplementing the functions/acts specified in the flowchart and/or blockdiagram block or blocks. These computer readable program instructionsmay also be stored in a computer readable storage medium that can directa computer, a programmable data processing apparatus, and/or otherdevices to function in a particular manner, such that the computerreadable storage medium having instructions stored therein comprises anarticle of manufacture including instructions which implement aspects ofthe function/act specified in the flowchart and/or block diagram blockor blocks.

The computer readable program instructions may also be loaded onto acomputer, other programmable data processing apparatus, or other deviceto cause a series of operational steps to be performed on the computer,other programmable apparatus or other device to produce a computerimplemented process, such that the instructions which execute on thecomputer, other programmable apparatus, or other device implement thefunctions/acts specified in the flowchart and/or block diagram block orblocks.

The flowchart and block diagrams in the Figures illustrate thearchitecture, functionality, and operation of possible implementationsof systems, methods, and computer program products according to variousembodiments of the present invention. In this regard, each block in theflowchart or block diagrams may represent a module, segment, or portionof instructions, which comprises one or more executable instructions forimplementing the specified logical function(s). In some alternativeimplementations, the functions noted in the block may occur out of theorder noted in the figures. For example, two blocks shown in successionmay, in fact, be executed substantially concurrently, or the blocks maysometimes be executed in the reverse order, depending upon thefunctionality involved. It will also be noted that each block of theblock diagrams and/or flowchart illustration, and combinations of blocksin the block diagrams and/or flowchart illustration, can be implementedby special purpose hardware-based systems that perform the specifiedfunctions or acts or carry out combinations of special purpose hardwareand computer instructions.

With reference now to the figures, and in particular to FIG. 1, there isdepicted a block diagram of an exemplary system and network that may beutilized by and/or in the implementation of the present invention. Someor all of the exemplary architecture, including both depicted hardwareand software, shown for and within computer 101 may be utilized bysoftware deploying server 149 shown in FIG. 1.

Exemplary computer 101 includes a processor 103 that is coupled to asystem bus 105. Processor 103 may utilize one or more processors, eachof which has one or more processor cores. A video adapter 107, whichdrives/supports a display 109, is also coupled to system bus 105. Systembus 105 is coupled via a bus bridge 111 to an input/output (I/O) bus113. An I/O interface 115 is coupled to I/O bus 113. I/O interface 115affords communication with various I/O devices, including a keyboard117, a mouse 119, a media tray 121 (which may include storage devicessuch as CD-ROM drives, multi-media interfaces, etc.), a transceiver 123(capable of transmitting and/or receiving electronic communicationsignals), and external USB port(s) 125. While the format of the portsconnected to I/O interface 115 may be any known to those skilled in theart of computer architecture, in one embodiment some or all of theseports are universal serial bus (USB) ports.

As depicted, computer 101 is able to communicate with a softwaredeploying server 149 and/or other devices/systems using a networkinterface 129. Network interface 129 is a hardware network interface,such as a network interface card (NIC), etc. Network 127 may be anexternal network such as the Internet, or an internal network such as anEthernet or a virtual private network (VPN). In one or more embodiments,network 127 is a wireless network, such as a Wi-Fi network, a cellularnetwork, etc.

A hard drive interface 131 is also coupled to system bus 105. Hard driveinterface 131 interfaces with a hard drive 133. In one embodiment, harddrive 133 populates a system memory 135, which is also coupled to systembus 105. System memory is defined as a lowest level of volatile memoryin computer 101. This volatile memory includes additional higher levelsof volatile memory (not shown), including, but not limited to, cachememory, registers and buffers.

Data that populates system memory 135 includes computer 101's operatingsystem (OS) 137 and application programs 143.

OS 137 includes a shell 139, for providing transparent user access toresources such as application programs 143. Generally, shell 139 is aprogram that provides an interpreter and an interface between the userand the operating system. More specifically, shell 139 executes commandsthat are entered into a command line user interface or from a file.Thus, shell 139, also called a command processor, is generally thehighest level of the operating system software hierarchy and serves as acommand interpreter. The shell provides a system prompt, interpretscommands entered by keyboard, mouse, or other user input media, andsends the interpreted command(s) to the appropriate lower levels of theoperating system (e.g., a kernel 141) for processing. While shell 139 isa text-based, line-oriented user interface, the present invention willequally well support other user interface modes, such as graphical,voice, gestural, etc.

As depicted, OS 137 also includes kernel 141, which includes lowerlevels of functionality for OS 137, including providing essentialservices required by other parts of OS 137 and application programs 143,including memory management, process and task management, diskmanagement, and mouse and keyboard management.

Application programs 143 include a renderer, shown in exemplary manneras a browser 145. Browser 145 includes program modules and instructionsenabling a world wide web (WWW) client (i.e., computer 101) to send andreceive network messages to the Internet using hypertext transferprotocol (HTTP) messaging, thus enabling communication with softwaredeploying server 149 and other systems.

Application programs 143 in computer 101's system memory (as well assoftware deploying server 149's system memory) also include Logic forModifying a Graphical User Interface (LMGUI) 147. LMGUI 147 includescode for implementing the processes described below, including thosedescribed in FIGS. 2-9. In one embodiment, computer 101 is able todownload LMGUI 147 from software deploying server 149, including in anon-demand basis, wherein the code in LMGUI 147 is not downloaded untilneeded for execution. In one embodiment of the present invention,software deploying server 149 performs all of the functions associatedwith the present invention (including execution of LMGUI 147), thusfreeing computer 101 from having to use its own internal computingresources to execute LMGUI 147.

The hardware elements depicted in computer 101 are not intended to beexhaustive, but rather are representative to highlight essentialcomponents required by the present invention. For instance, computer 101may include alternate memory storage devices such as magnetic cassettes,digital versatile disks (DVDs), Bernoulli cartridges, and the like.These and other variations are intended to be within the spirit andscope of the present invention.

As described herein, the present invention addresses usability issuesassociated with graphical user interfaces (GUIs) that have anunconventional appearance. For example, assume that a developer hascreated a GUI for a phone app (i.e., software application that runs on amobile device such as a smart phone) that is highly original andcreative. While such originality and creativity may seem admirable, inpractice this often leads to a GUI that is so strange that it is hard touse, thus leading to an ineffective app. For example, assume that thedeveloper assigned an icon that looks like a floppy disk to destroy afile, since he saw a floppy disk melt in a favorite spy movie. However,most users would assume that clicking the floppy disk icon will actuallysave the user's data. Thus, when they click the floppy disk, their datais inadvertently destroyed, such that the app (and thus thephone/computer on which the app is running) functions poorly. While thisexample is somewhat extreme, there are many other instances in which thedistinction between a useful icon (or other active field) on the GUI anda misleading icon/active field on the GUI are not so obvious. Thepresent invention provides a new and useful solution to this problem.

Usability issues with a GUI are any issues in the GUI (including but notlimited to mobile GUIs used on smart phones, etc.) that make an end-useruncomfortable when working with the application. The present inventionaddresses such usability issues, including but not limited to: widgetlabels that are not intuitive and do not match the purpose of the GUI oractive field, thus leading to user confusion; widget icons that are notintuitive and do not match the purpose of the GUI or active field, thusleading to user confusion; developers who use textual labels instead ofstandardized icons, thus leading to a poor overall appearance of theGUI; and/or inconsistency in widget properties (i.e., font, layout,color, etc.) based on the purpose of the application and the industryspecific styles, thus leading to user confusion and poor GUIappearances.

Thus, the present invention addresses the problem of, given an inputapplication, how to model a cognitive tool that figures out in anautomated fashion widget label text/icons that are intuitive to theend-user and that appropriately match the purpose of the applicationwhile conforming to industry standards. If the presently used labeltext/icons are confusing or do not conform to industry standards, thenthe present invention suggests alternative (preferably well known andintuitive) replacement labels/icons for use by the GUI.

The present invention presents a novel deep learning based cognitiveframework to resolve usability issues in mobile apps using the followingmethods: (i) building a neural mobile screen knowledge base in whichmobile screens of famous apps (e.g., most frequently downloaded from anapp store) are semantically, contextually, and compactly capturedthrough neural embedding vectors; (ii) leveraging this knowledge-base tosemantically as well as contextually retrieve similar screens of wellknown (famous) applications that have the same purpose and context ofthe current input screen, given an input mobile screen; and (iii) usingthe semantically retrieved similar screens of famous apps to identifyusability issues in the given current input screen and provide solutionsto improve the usability of the current input screen.

Often, developers may not use intuitive or user-friendly labels forwidgets shown to users such as text boxes, buttons, etc. Also, labelsused should match appropriately to the purpose of the application.

For example, consider GUI 202 and GUI 204 shown in FIG. 2. As shown, GUI202 is for an e-mail app, while GUI 204 is a security related app. InGUI 202, button 206 is labeled “Authenticate”, and is to be clickedafter the user has entered his/her user name and password, thus loggingthat user into the system. However, a more common (and thus lessconfusing) label for button 206 would have been “Login” or “Sign-in”. Assuch, the present invention will automatically rename button 206 withthe text “Login” or “Sign-in”. However, in GUI 204 the button 208labeled “Authenticate” is accurate, since it is clicked in order toallow the user to authorize the system to remove the detected virus. Assuch, button 208 remains labeled as “Authenticate”.

In other embodiments of the present invention, an app developer may useunusual and/or confusing icons to represent certain events. For exampleand with reference to FIG. 3, consider GUI 301 and GUI 303, each ofwhich is used with an e-mail or messaging app. In GUI 301, the developerhas elected to use an icon 305 that looks like a bugle, thus suggestingan alert that a new message has arrived. While perhaps clever andevocative, icon 305 is likely to not be intuitive to a user (i.e., theuser will not know what a bugle is supposed to represent). As such, theicon 305 will be replaced with a traditional icon 307, shown in GUI 303as a note pad or an envelope (another traditional symbol for a newmessage).

In other embodiments of the present invention, the app developer may usean irregular layout and/or an unconventional font (e.g., as preferredfor use by a particular enterprise) on the GUI. For example, considerGUI 402 and GUI 404 shown in FIG. 4, both of which are used in ane-mail/messaging app. GUI 402 follows the convention of placing the icon406 for new messages in the top right corner of the GUI 402, and uses aconvention font 410 to display the messages. However, GUI 404 places thesame icon 406 (now depicted as icon 408) in the lower right-hand cornerof the GUI 404, and uses a different font 412 than font 410 shown in useby GUI 402. Thus, the present invention will reconfigure GUI 404 to lookmore like GUI 402, including the placement of icon 406/408, the use offont 410, the placement of other instructions such as “<Back”, “Edit”,etc., as well as the title of the app (“Messages” instead of “Inbox”).

With reference now to FIG. 5, a high-level flow chart of one or moreembodiments of the present invention to modify a GUI in order to improveusability and functionality of an app is presented. As shown in block501, a component of a GUI for an app is received by the system as amobile screen (e.g., from a smart phone GUI) input. The components areidentified as output as mobile screen layout files (e.g., string and/orXML files) to a system that creates a neural embedding representation ofthe current GUI (see block 502). That is, in block 501 the systemretrieves all activities for a particular application from a manifestfile (which is associated with that particular application). Eachactivity is loaded into an emulator, and a GUI layout file for all ofthe activities of the application is dumped into a system that generatesa GUI rendered XML, file of the activities that are rendered in theemulator.

As depicted in block 502, a neural-embedding vector representation isdetermined for each mobile screen (i.e., GUI) in the application ofinterest. Thus, the output from block 501 is used as an input to block502, and the output from block 502 is the neural embedding vectorrepresentation for all of these mobile screens.

With reference now to FIG. 6, an exemplary process for generating valuesused to create a neural-embedding vector representation of apps and/ortheir active fields is presented.

As shown in FIG. 6, inputs 602 (i.e., the outputs from block 501 in FIG.5) are input into a representational learner 604, which is based on aneural probabilistic language model. This technique understands thecontext of each word from the GUI and represents each word as a vectorin N-d space. Using this technique, similar words gets plotted closer inN-d space, where N is the vector size of the word representation. Forexample, the word “Test-case” and the word “Test-script” will lie veryclose together in the N-d space using this representation. In anotherexample, the word “testing” will also lie close to both “Test-case” and“Test-script”, but the distance between “test-case” and “test-script”will be closer than the distance between “test-case” and “testing”.Using representations 606, the system converts every widget label in themobile screen layout files in to its corresponding neural embeddingvector in N-d space.

Now each mobile screen is represented as a neural embedding vector,which is computed from the vector representations of the labeltext/accessibility text in the mobile screen layout files (obtainedabove). For icons, the neural embedding vector representation of theaccessibility text corresponding to the icons is used. Thus, for amobile screen r₁ with n label texts (w1,w2, . . . ,wn),

r _(i)=Σ_(j=1) ^(n) tf−idf(w _(j))*embedding(wj)

where tf−idf(w_(i)) is the term frequency * inverse document frequencyof a label text and embedding(w) is the vector representation of thelabel text learned in unsupervised representation learning. In oneembodiment of the present invention, priority is assigned to the widgetsin the screen based on some predefined rules (e.g., the importance of aninput widget to the functionality of the app, etc.). Based on the widgetpriorities, a weighted average of all the vectors corresponding to thelabels displayed in the screen is calculated, and a mobile screen vectoris generated as an n-dimensional real vector representation, such as(1.2, −3.4, 0.3) in 3-dimensions.

This neural embedding vector representation for mobile screens ensuresthat vectors of widgets on a screen that have a same purpose/contextcome closer together in N-d space (i.e., are close in terms of Euclideanor cosine distances). This allows the system to generate a neuralembedding vector representation for all screens of the application ofinterest.

Returning now to FIG. 5, as depicted in block 503 mobile screens fromcommonly used apps (e.g., found in an app store) are deconstructed (asin block 501 for the current app) and inserted into an engine thatgenerates a neural embedding representation that semantically capturesthe context/purpose of the other (famous, common, well-known) apps, asdescribed in block 504 (analogous to block 502).

Thus, as depicted in block 505, vector representations for all screensof famous apps, based on app categories, plot each app and/or widgetwithin the app in an N-d space separately based on the app category. Forexample, as shown in FIGS. 7A-7B, sports related apps will have N-dgraph 701, shopping related apps will have N-d graph 703, entertainmentrelated apps will have N-d graph 705, movies related apps will have N-dgraph 707, etc., each of which provide a reference model against which acurrent app is compared. The greater the number of apps considered, thebetter the prediction of the current system in determining the optimalwidgets/layout to be used in the current GUI for the current app. Sincethe system is automated, one or more processors can generate scripts toget neural embedding vector representations of all screens of manyfamous apps in various app categories. In one or more embodiments, agraphics processing unit is dedicated to the process of generating theN-d graphs, thus improving the operation of the computer system uponwhich the present invention is being implemented.

Given a current app screen (i.e., for an app devoted to a particularpurpose, such as tracking sporting events), the present inventionconverts the current app into a vector representation and plots itagainst the pre-built reference graph. For example, as shown in FIG. 8,a vector representing GUI 802 is depicted as a plot 804 on a 3-d graph806, which has plotted points that represent a large quantity of otherapps (see blocks 503-505 in FIG. 5). The 3-d vector distance 808identifies which other apps are most closely related to app 802 based onthe distance to plot 804. This provides a determination of which GUIplotted/represented in 3-d graph 806 is closest in function, context,and semantics as that of GUI 802.

Thus, as depicted in FIG. 8, the plot of the current GUI is plotted todetermine the Euclidean distance to the top-k (i.e., most closelyrelated in terms of context, semantics, and function) apps from an appstore. These screens (GUIs) are screens of famous apps that have thesame context/purpose of the given current app screen.

Similarly, an N-d graph can be generated for the widgets themselves,such that the Euclidian distance between plots representing widgets inthe current app is measured to plots representing widgets from otherapps. Thus, for each widget label in the given app screen, the distanceto the top-k (nearest) labels is determined (see block 507 in FIG. 5).Thus, by choosing the top-k widgets (from other famous apps) based onthe Euclidean distance to the label of the widget from the current app(e.g., based on the Euclidian distance between words used by the variouswidgets), the system derives the top-k alternative labels having thesame meaning and also used by other famous app screens having the samepurpose/context. After getting the top-k words for a given widget label,the words are sorted again based on the Euclidean distance between theinput (current) mobile screen and the (other) mobile screens from whichthese labels are obtained.

The present invention also takes care of providing similar label textwriting style words (formal, informal, etc.) as alternatives in the topof the list. Thus, a mobile screen (GUI) that is very close to the inputscreen in N-d space will not only be similar in the context/purpose ofthe app screen, but will also be similar in the word writing style ofthe app screen. Since top-k words are sorted by the Euclidean distancebetween the screens, alternative suggested labels which come in at thetop of the list not only have the same meaning as the old label in thecontext of the app, but it provide labels of similar word writingstyles. Writing style of labels means the common style followed by manylabels in the screen (i.e. correlation of label styles using differentfeatures which is learned in an unsupervised way and represented in theneural embedding vector).

If the given widget label is used in the set of labels retrieved, thelabel is tagged as an intuitive label. Otherwise, the top-k nearestwords provide the suggested label for the current app's related widget.For example, if an application is a business related app and thedeveloper has used “Authenticate” as the label for a button to log in tothe app (see FIG. 2), the present system suggests the use of “login” or“sign-in”, which are commonly used labels instead of using“authenticate”. However, if the application is a security related app,then “authenticate” itself will be the most-intuitive label as therewill be many other famous apps having the label “authenticate” that usethe same label. In this scenario, the present system will not suggestany alternatives, as the currently used widget label itself is intuitiveand famous (i.e., well known and most commonly used).

The presently presented invention does not just provide similar meaningphrases to a label. Rather, the present invention provides similarfamous and end-user replacement phrases for use in labeling widgets inthe context of the input app.

For each icon (with an accessibility text) the present system returnstop-k accessibility text (each associated with an icon) in famoussimilar apps of the same context (see block 508 and/or block 509 in FIG.5). Thus, the system will suggest similar famous and end-user intuitivereplacement icons to widget icons in the context of the input app (seeblock 508 in FIG. 5).

Furthermore, the system can suggest similar famous and end-userintuitive replacement icons for widget labels (if any are available) inthe context of the input app (see block 509 in FIG. 5) by applying thefollowing process. While retrieving top-k similar labels for an inputwidget label, the system uses both accessibility text and label text toretrieve top-k similar labels/icons for a given label text. Using this,the system suggests similar famous and end-user intuitive replacementicons used in a famous app for a widget label text. For example, if thecurrent app uses “Save” as a label text for a widget button, the presentinvention suggests a save icon (e.g., a picture of a floppy disk) toreplace the text-described button.

Given an input screen, the present invention suggests top-k similarscreens having the same context/purpose of the current input screen(GUI).

As described in block 510 in FIG. 5, one embodiment of the presentinvention detects any inconsistency in widget properties (i.e. font,layout, color, etc.) based on the purpose of the application and theindustry specific styles. From these top-k similar screens, the presentsystem retrieves a similar screen, and applies unsupervised patternmatching to retrieve any common patterns in font, color, layout, etc. inthe top-k similar screen having the same context and purpose. Byvalidating/comparing these common patterns with the input screen, thepresent invention auto-generates an industry-style specific widgetproperty inconsistency report. Based on the suggestions provided in thereport, the present invention automatically modifies the string andlayout XMLs of the app screen, in order to build the application andshow variants of the same input application.

Thus, in one or more embodiments of the present invention, variations indifferent GUIs are collected to determine patterns inwidget/font/layout/etc. usage. These patterns thus allow the system todetermine 1) the most commonly used types of widgets/fonts/layouts/etc.,in order to 2) automatically transform a currently-evaluated GUI thatuses a less common type of widget/font/layout/etc. into a GUI that usesthe most commonly used types of widgets/fonts/layouts/etc.

With reference now to FIG. 9, another high-level flow chart of one ormore steps performed by one or more processors to modify a GUI in orderto improve the usability of the GUI is presented.

After initiator block 902, one or more processors build a graphical userinterface (GUI) neural knowledge base (e.g., see FIG. 7), as describedin block 904. As described herein, the GUI neural knowledge basecaptures GUIs used by multiple software applications based on afunction, semantics, and context of captured GUIs.

As described in block 906, the processor(s) identify a current GUI(e.g., GUI 802 shown in FIG. 8) that is utilized by a current softwareapplication.

As described in block 908, the processor(s) match the current GUI tocaptured GUIs that have a same function, semantics, and context of thecurrent GUI.

As described in block 910, the processor(s) identify a top-k activefield used by the captured GUIs, where the top-k active field is usedmore frequently than any other active fields in the captured GUIs tohave the same function, semantics, and context of the current GUI.

As described in block 912, the processor(s) match a function of acurrent active field from the current GUI to a function of the top-kactive field used by the captured GUIs, where the current active fieldfrom the current GUI and the top-k active field used by the capturedGUIs provide a same function (e.g., see elements 305 and 307 in FIG. 3).

As described in block 914, the processor(s) compare a visual appearanceof the current active field from the current GUI to the top-k activefield used by the captured GUIs.

In response to the visual appearance of the current active field fromthe current GUI not matching the visual appearance of the top-k activefield used by the captured GUIs (query block 916), the processor(s)replace the current active field with the top-k active field in thecurrent GUI in order to improve usability of the current GUI (block918).

The flow-chart ends at terminator block 920.

In one embodiment of the present invention, the current active field isan input field (e.g., a button such as element 206 shown in FIG. 2),such that the visual appearance of the input field is established by atext label displayed on the current GUI for the input field. Forexample, element 206 in FIG. 2 may be relabeled from “Authenticate” to“Login”.

In one embodiment of the present invention, the current active field isan activatable icon, and the visual appearance of the icon is a visualrepresentation of the activatable icon displayed on the current GUI.Thus, the current active field (e.g., element 305 in FIG. 3) is replacedwith icon 307 in FIG. 3.

In one embodiment of the present invention, the current active field isan active field that is identified by a text label and the top-k activefield is an icon, wherein the active field that is identified by thetext label is replaced with the icon. That is, a text-labeled button(e.g., a box labeled “Save”) may be replaced with an icon (e.g., apicture of a floppy disk).

In one embodiment of the present invention, processor(s) replace thecurrent active field with the top-k active field in the current GUI bymodifying string and layout extensible markup language (XML) script usedto generate the current GUI. That, the processor(s) auto-generate stringand layout XML script that amends the appearance of the current GUI asdescribed herein.

In one embodiment of the present invention, the current active fielddisplays a text instruction in a first font, the top-k active fielddisplays the text instruction in a second font, and replacing thecurrent active field with the top-k active field in the current GUI isperformed by applying the second font to the text instruction in thecurrent active field. (See FIG. 3.)

In one embodiment of the present invention, processor(s) generate acorrelation score between the current GUI and each GUI from the capturedGUIs, where the correlation score is based on matching the current GUIto captured GUIs based on having the same function, semantics, andcontext of the current GUI. Each of the captured GUIs is ranked based onthe correlation score. The top-k active field from a top-ranked GUI fromthe captured GUIs is then utilized as a replacement for the currentactive field in the current GUI. That is, multiple GUIs are deemed to beclosely related to the current GUI, as derived from their depictedlocation in the N-d graphs described herein (see FIG. 8). The closer thedepicted GUIs, the higher ranked they are in terms of being more closelyaligned based on their functions (i.e., what the app does and/or whatfunctions the widgets provide), semantics (e.g., verbiage used in thewidgets/GUI), and context (e.g., the field that the app is used in, suchas sports, shopping, etc.).

As described herein, the present invention does not just suggest labelsthat have meanings similar to currently used labels. Rather, the presentinvention provides similar famous (i.e., well known and/or commonlyused) and end-user intuitive (i.e., are easy to understand) replacementlabels/icons to the existing widget labels/icons in the context of theinput (current) application.

In one or more embodiments, the present invention is implemented in acloud environment. It is understood in advance that although thisdisclosure includes a detailed description on cloud computing,implementation of the teachings recited herein are not limited to acloud computing environment. Rather, embodiments of the presentinvention are capable of being implemented in conjunction with any othertype of computing environment now known or later developed.

Cloud computing is a model of service delivery for enabling convenient,on-demand network access to a shared pool of configurable computingresources (e.g. networks, network bandwidth, servers, processing,memory, storage, applications, virtual machines, and services) that canbe rapidly provisioned and released with minimal management effort orinteraction with a provider of the service. This cloud model may includeat least five characteristics, at least three service models, and atleast four deployment models.

Characteristics are as follows:

On-demand self-service: a cloud consumer can unilaterally provisioncomputing capabilities, such as server time and network storage, asneeded automatically without requiring human interaction with theservice's provider.

Broad network access: capabilities are available over a network andaccessed through standard mechanisms that promote use by heterogeneousthin or thick client platforms (e.g., mobile phones, laptops, and PDAs).

Resource pooling: the provider's computing resources are pooled to servemultiple consumers using a multi-tenant model, with different physicaland virtual resources dynamically assigned and reassigned according todemand. There is a sense of location independence in that the consumergenerally has no control or knowledge over the exact location of theprovided resources but may be able to specify location at a higher levelof abstraction (e.g., country, state, or datacenter).

Rapid elasticity: capabilities can be rapidly and elasticallyprovisioned, in some cases automatically, to quickly scale out andrapidly released to quickly scale in. To the consumer, the capabilitiesavailable for provisioning often appear to be unlimited and can bepurchased in any quantity at any time.

Measured service: cloud systems automatically control and optimizeresource use by leveraging a metering capability at some level ofabstraction appropriate to the type of service (e.g., storage,processing, bandwidth, and active user accounts). Resource usage can bemonitored, controlled, and reported providing transparency for both theprovider and consumer of the utilized service.

Service Models are as follows:

Software as a Service (SaaS): the capability provided to the consumer isto use the provider's applications running on a cloud infrastructure.The applications are accessible from various client devices through athin client interface such as a web browser (e.g., web-based e-mail).The consumer does not manage or control the underlying cloudinfrastructure including network, servers, operating systems, storage,or even individual application capabilities, with the possible exceptionof limited user-specific application configuration settings.

Platform as a Service (PaaS): the capability provided to the consumer isto deploy onto the cloud infrastructure consumer-created or acquiredapplications created using programming languages and tools supported bythe provider. The consumer does not manage or control the underlyingcloud infrastructure including networks, servers, operating systems, orstorage, but has control over the deployed applications and possiblyapplication hosting environment configurations.

Infrastructure as a Service (IaaS): the capability provided to theconsumer is to provision processing, storage, networks, and otherfundamental computing resources where the consumer is able to deploy andrun arbitrary software, which can include operating systems andapplications. The consumer does not manage or control the underlyingcloud infrastructure but has control over operating systems, storage,deployed applications, and possibly limited control of select networkingcomponents (e.g., host firewalls).

Deployment Models are as follows:

Private cloud: the cloud infrastructure is operated solely for anorganization. It may be managed by the organization or a third party andmay exist on-premises or off-premises.

Community cloud: the cloud infrastructure is shared by severalorganizations and supports a specific community that has shared concerns(e.g., mission, security requirements, policy, and complianceconsiderations). It may be managed by the organizations or a third partyand may exist on-premises or off-premises.

Public cloud: the cloud infrastructure is made available to the generalpublic or a large industry group and is owned by an organization sellingcloud services.

Hybrid cloud: the cloud infrastructure is a composition of two or moreclouds (private, community, or public) that remain unique entities butare bound together by standardized or proprietary technology thatenables data and application portability (e.g., cloud bursting forload-balancing between clouds).

A cloud computing environment is service oriented with a focus onstatelessness, low coupling, modularity, and semantic interoperability.At the heart of cloud computing is an infrastructure comprising anetwork of interconnected nodes.

Referring now to FIG. 10, a schematic of an example of a cloud computingnode is shown. Cloud computing node 10 is only one example of a suitablecloud computing node and is not intended to suggest any limitation as tothe scope of use or functionality of embodiments of the inventiondescribed herein. Regardless, cloud computing node 10 is capable ofbeing implemented and/or performing any of the functionality set forthhereinabove.

In cloud computing node 10 there is a computer system/server 12, whichis operational with numerous other general purpose or special purposecomputing system environments or configurations. Examples of well-knowncomputing systems, environments, and/or configurations that may besuitable for use with computer system/server 12 include, but are notlimited to, personal computer systems, server computer systems, thinclients, thick clients, hand-held or laptop devices, multiprocessorsystems, microprocessor-based systems, set top boxes, programmableconsumer electronics, network PCs, minicomputer systems, mainframecomputer systems, and distributed cloud computing environments thatinclude any of the above systems or devices, and the like.

Computer system/server 12 may be described in the general context ofcomputer system-executable instructions, such as program modules, beingexecuted by a computer system. Generally, program modules may includeroutines, programs, objects, components, logic, data structures, and soon that perform particular tasks or implement particular abstract datatypes. Computer system/server 12 may be practiced in distributed cloudcomputing environments where tasks are performed by remote processingdevices that are linked through a communications network. In adistributed cloud computing environment, program modules may be locatedin both local and remote computer system storage media including memorystorage devices.

As shown in FIG. 10, computer system/server 12 in cloud computing node10 is shown in the form of a general-purpose computing device. Thecomponents of computer system/server 12 may include, but are not limitedto, one or more processors or processing units 16, a system memory 28,and a bus 18 that couples various system components including systemmemory 28 to processor 16.

Bus 18 represents one or more of any of several types of bus structures,including a memory bus or memory controller, a peripheral bus, anaccelerated graphics port, and a processor or local bus using any of avariety of bus architectures. By way of example, and not limitation,such architectures include Industry Standard Architecture (ISA) bus,Micro Channel Architecture (MCA) bus, Enhanced ISA (EISA) bus, VideoElectronics Standards Association (VESA) local bus, and PeripheralComponent Interconnects (PCI) bus.

Computer system/server 12 typically includes a variety of computersystem readable media. Such media may be any available media that isaccessible by computer system/server 12, and it includes both volatileand non-volatile media, removable and non-removable media.

System memory 28 can include computer system readable media in the formof volatile memory, such as random access memory (RAM) 30 and/or cachememory 32. Computer system/server 12 may further include otherremovable/non-removable, volatile/non-volatile computer system storagemedia. By way of example only, storage system 34 can be provided forreading from and writing to a non-removable, non-volatile magnetic media(not shown and typically called a “hard drive”). Although not shown, amagnetic disk drive for reading from and writing to a removable,non-volatile magnetic disk (e.g., a “floppy disk”), and an optical diskdrive for reading from or writing to a removable, non-volatile opticaldisk such as a CD-ROM, DVD-ROM or other optical media can be provided.In such instances, each can be connected to bus 18 by one or more datamedia interfaces. As will be further depicted and described below,memory 28 may include at least one program product having a set (e.g.,at least one) of program modules that are configured to carry out thefunctions of embodiments of the invention.

Program/utility 40, having a set (at least one) of program modules 42,may be stored in memory 28 by way of example, and not limitation, aswell as an operating system, one or more application programs, otherprogram modules, and program data. Each of the operating system, one ormore application programs, other program modules, and program data orsome combination thereof, may include an implementation of a networkingenvironment. Program modules 42 generally carry out the functions and/ormethodologies of embodiments of the invention as described herein.

Computer system/server 12 may also communicate with one or more externaldevices 14 such as a keyboard, a pointing device, a display 24, etc.;one or more devices that enable a user to interact with computersystem/server 12; and/or any devices (e.g., network card, modem, etc.)that enable computer system/server 12 to communicate with one or moreother computing devices. Such communication can occur via Input/output(I/O) interfaces 22. Still yet, computer system/server 12 cancommunicate with one or more networks such as a local area network(LAN), a general wide area network (WAN), and/or a public network (e.g.,the Internet) via network adapter 20. As depicted, network adapter 20communicates with the other components of computer system/server 12 viabus 18. It should be understood that although not shown, other hardwareand/or software components could be used in conjunction with computersystem/server 12. Examples, include, but are not limited to: microcode,device drivers, redundant processing units, external disk drive arrays,RAID systems, tape drives, and data archival storage systems, etc.

Referring now to FIG. 11, illustrative cloud computing environment 50 isdepicted. As shown, cloud computing environment 50 comprises one or morecloud computing nodes 10 with which local computing devices used bycloud consumers, such as, for example, personal digital assistant (PDA)or cellular telephone 54A, desktop computer 54B, laptop computer 54C,and/or automobile computer system 54N may communicate. Nodes 10 maycommunicate with one another. They may be grouped (not shown) physicallyor virtually, in one or more networks, such as Private, Community,Public, or Hybrid clouds as described hereinabove, or a combinationthereof. This allows cloud computing environment 50 to offerinfrastructure, platforms and/or software as services for which a cloudconsumer does not need to maintain resources on a local computingdevice. It is understood that the types of computing devices 54A-N shownin FIG. 11 are intended to be illustrative only and that computing nodes10 and cloud computing environment 50 can communicate with any type ofcomputerized device over any type of network and/or network addressableconnection (e.g., using a web browser).

Referring now to FIG. 12, a set of functional abstraction layersprovided by cloud computing environment 50 (FIG. 11) is shown. It shouldbe understood in advance that the components, layers, and functionsshown in FIG. 12 are intended to be illustrative only and embodiments ofthe invention are not limited thereto. As depicted, the following layersand corresponding functions are provided:

Hardware and software layer 60 includes hardware and softwarecomponents. Examples of hardware components include: mainframes 61; RISC(Reduced Instruction Set Computer) architecture based servers 62;servers 63; blade servers 64; storage devices 65; and networks andnetworking components 66. In some embodiments, software componentsinclude network application server software 67 and database software 68.

Virtualization layer 70 provides an abstraction layer from which thefollowing examples of virtual entities may be provided: virtual servers71; virtual storage 72; virtual networks 73, including virtual privatenetworks; virtual applications and operating systems 74; and virtualclients 75.

In one example, management layer 80 may provide the functions describedbelow. Resource provisioning 81 provides dynamic procurement ofcomputing resources and other resources that are utilized to performtasks within the cloud computing environment. Metering and Pricing 82provide cost tracking as resources are utilized within the cloudcomputing environment, and billing or invoicing for consumption of theseresources. In one example, these resources may comprise applicationsoftware licenses. Security provides identity verification for cloudconsumers and tasks, as well as protection for data and other resources.User portal 83 provides access to the cloud computing environment forconsumers and system administrators. Service level management 84provides cloud computing resource allocation and management such thatrequired service levels are met. Service Level Agreement (SLA) planningand fulfillment 85 provide pre-arrangement for, and procurement of,cloud computing resources for which a future requirement is anticipatedin accordance with an SLA.

Workloads layer 90 provides examples of functionality for which thecloud computing environment may be utilized. Examples of workloads andfunctions which may be provided from this layer include: mapping andnavigation 91; software development and lifecycle management 92; virtualclassroom education delivery 93; data analytics processing 94;transaction processing 95; and graphical user interface configurationprocessing 96 (for adjusting a configuration of a graphical userinterface for an application as described herein).

The terminology used herein is for the purpose of describing particularembodiments only and is not intended to be limiting of the presentinvention. As used herein, the singular forms “a”, “an” and “the” areintended to include the plural forms as well, unless the context clearlyindicates otherwise. It will be further understood that the terms“comprises” and/or “comprising,” when used in this specification,specify the presence of stated features, integers, steps, operations,elements, and/or components, but do not preclude the presence oraddition of one or more other features, integers, steps, operations,elements, components, and/or groups thereof.

The corresponding structures, materials, acts, and equivalents of allmeans or step plus function elements in the claims below are intended toinclude any structure, material, or act for performing the function incombination with other claimed elements as specifically claimed. Thedescription of various embodiments of the present invention has beenpresented for purposes of illustration and description, but is notintended to be exhaustive or limited to the present invention in theform disclosed. Many modifications and variations will be apparent tothose of ordinary skill in the art without departing from the scope andspirit of the present invention. The embodiment was chosen and describedin order to best explain the principles of the present invention and thepractical application, and to enable others of ordinary skill in the artto understand the present invention for various embodiments with variousmodifications as are suited to the particular use contemplated.

Any methods described in the present disclosure may be implementedthrough the use of a VHDL (VHSIC Hardware Description Language) programand a VHDL chip. VHDL is an exemplary design-entry language for FieldProgrammable Gate Arrays (FPGAs), Application Specific IntegratedCircuits (ASICs), and other similar electronic devices. Thus, anysoftware-implemented method described herein may be emulated by ahardware-based VHDL program, which is then applied to a VHDL chip, suchas a FPGA.

Having thus described embodiments of the present invention of thepresent application in detail and by reference to illustrativeembodiments thereof, it will be apparent that modifications andvariations are possible without departing from the scope of the presentinvention defined in the appended claims.

What is claimed is:
 1. A method comprising: identifying, by one or moreprocessors, a non-intuitive icon on a current graphical user interface(GUI); matching, by one or more processors, the non-intuitive icon to atraditional icon that performs a same function as the non-intuitive iconwhen selected by a user; and replacing, by one or more processors, thenon-intuitive icon with the traditional icon on the current GUI.
 2. Themethod of claim 1, wherein the traditional icon is identified as an iconthat is historically used more frequently than the non-intuitive icon onother GUIs.
 3. The method of claim 1, wherein the non-intuitive iconvisually suggests a function that is contrary to a function of thetraditional icon.
 4. The method of claim 1, wherein the non-intuitiveicon is labeled with a label that does not match an intended purpose ofthe non-intuitive icon and the traditional icon.
 5. The method of claim1, wherein the non-intuitive icon is labeled with a non-intuitive labelthat does not match an intended purpose of the non-intuitive icon andthe traditional icon, and wherein the traditional icon is labeled withan intuitive label that matches the intended purpose of thenon-intuitive icon and the traditional icon.
 6. The method of claim 1,wherein the non-intuitive icon is initially placed in a first locationon the current GUI, and wherein the traditional icon that replaces thenon-intuitive icon is placed in a different second location on thecurrent GUI.
 7. A computer program product for modifying a graphicaluser interface (GUI) for an application to improve usability of thecurrent GUI, the computer program product comprising a non-transitorycomputer readable storage medium having program code embodied therewith,the program code readable and executable by a processor to perform amethod comprising: identifying a non-intuitive icon on a currentgraphical user interface (GUI); matching the non-intuitive icon to atraditional icon that performs a same function as the non-intuitive iconwhen selected by a user; and replacing the non-intuitive icon with thetraditional icon on the current GUI.
 8. The computer program product ofclaim 7, wherein the traditional icon is identified as an icon that ishistorically used more frequently than the non-intuitive icon on otherGUIs.
 9. The computer program product of claim 7, wherein thenon-intuitive icon visually suggests a function that is contrary to afunction of the traditional icon.
 10. The computer program product ofclaim 7, wherein the non-intuitive icon is labeled with a label thatdoes not match an intended purpose of the non-intuitive icon and thetraditional icon.
 11. The computer program product of claim 7, whereinthe non-intuitive icon is labeled with a non-intuitive label that doesnot match an intended purpose of the non-intuitive icon and thetraditional icon, and wherein the traditional icon is labeled with anintuitive label that matches the intended purpose of the non-intuitiveicon and the traditional icon.
 12. The computer program product of claim7, wherein the non-intuitive icon is initially placed in a firstlocation on the current GUI, and wherein the traditional icon thatreplaces the non-intuitive icon is placed in a different second locationon the current GUI.
 13. The computer program product of claim 7, whereinthe program code is provided as a service in a cloud environment.
 14. Acomputer system comprising one or more processors, one or more computerreadable memories, and one or more computer readable non-transitorystorage mediums, and program instructions stored on at least one of theone or more computer readable non-transitory storage mediums forexecution by at least one of the one or more processors via at least oneof the one or more computer readable memories, the stored programinstructions executed to perform a method comprising: identifying anon-intuitive icon on a current graphical user interface (GUI); matchingthe non-intuitive icon to a traditional icon that performs a samefunction as the non-intuitive icon when selected by a user; andreplacing the non-intuitive icon with the traditional icon on thecurrent GUI.
 15. The computer system of claim 14, wherein thetraditional icon is identified as an icon that is historically used morefrequently than the non-intuitive icon on other GUIs.
 16. The computersystem of claim 14, wherein the non-intuitive icon visually suggests afunction that is contrary to a function of the traditional icon.
 17. Thecomputer system of claim 14, wherein the non-intuitive icon is labeledwith a label that does not match an intended purpose of thenon-intuitive icon and the traditional icon.
 18. The computer system ofclaim 14, wherein the non-intuitive icon is labeled with a non-intuitivelabel that does not match an intended purpose of the non-intuitive iconand the traditional icon, and wherein the traditional icon is labeledwith an intuitive label that matches the intended purpose of thenon-intuitive icon and the traditional icon.
 19. The computer system ofclaim 14, wherein the non-intuitive icon is initially placed in a firstlocation on the current GUI, and wherein the traditional icon thatreplaces the non-intuitive icon is placed in a different second locationon the current GUI.
 20. The computer system of claim 14, wherein thestored program instructions are provided as a service in a cloudenvironment.